Agentic RAG Done Right
Classic RAG is like packing your entier wardrobe for a weekend trip. Sure, you'll have options, but good luck finding what you need. In Part 1, we talked about why agents fall apart in production: ...

Source: DEV Community
Classic RAG is like packing your entier wardrobe for a weekend trip. Sure, you'll have options, but good luck finding what you need. In Part 1, we talked about why agents fall apart in production: compounding errors, the reliability tax, the gap between demo magic and real-world chaos. Now let's zoom into one of the biggest culprits — how most agents handle retrieval. Because classic RAG has a mantra: "We always retrieve context." And that's exactly where the problems start. The Problem: Retrieve Everything, Hope for the Best Let's go back to our running example: a travel-planning agent. A user asks for a 4-day trip with hiking, a modest budget, and one fancy dinner. Reasonable request. Here's what classic RAG does with it: It grabs everything. Weather data. Hotel options. Flight details. Restaurant suggestions. Trail maps. Local events. Currency exchange rates. It crams all of that into a single prompt and says, "Hey model, figure it out." This is fragile for reasons that should be ob